CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks Article Swipe
Soheila Molaei
,
Nima Ghanbari Bousejin
,
Ghadeer O. Ghosheh
,
Anshul Thakur
,
Vinod Kumar Chauhan
,
Tingting Zhu
,
David A. Clifton
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1007/s41666-024-00169-2
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1007/s41666-024-00169-2
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s41666-024-00169-2
- OA Status
- hybrid
- Cited By
- 1
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401209868
All OpenAlex metadata
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https://openalex.org/W4401209868Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s41666-024-00169-2Digital Object Identifier
- Title
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CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural NetworksWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-08-01Full publication date if available
- Authors
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Soheila Molaei, Nima Ghanbari Bousejin, Ghadeer O. Ghosheh, Anshul Thakur, Vinod Kumar Chauhan, Tingting Zhu, David A. CliftonList of authors in order
- Landing page
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https://doi.org/10.1007/s41666-024-00169-2Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1007/s41666-024-00169-2Direct OA link when available
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Clique, Graph, Enhanced Data Rates for GSM Evolution, Artificial neural network, Computer science, Mathematics, Theoretical computer science, Combinatorics, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2909425525, https://openalex.org/W2125674401, https://openalex.org/W2119852447, https://openalex.org/W1997927489, https://openalex.org/W3121273931, https://openalex.org/W3031956118, https://openalex.org/W1590194639, https://openalex.org/W2523834880, https://openalex.org/W2803516046, https://openalex.org/W2518269322, https://openalex.org/W2969097171, https://openalex.org/W2336383680, https://openalex.org/W2396881363, https://openalex.org/W2964010366, https://openalex.org/W2012451988, https://openalex.org/W2951359356, https://openalex.org/W3095791468, https://openalex.org/W2557074642, https://openalex.org/W3129421081, https://openalex.org/W2963685634, https://openalex.org/W2964068143, https://openalex.org/W3216660278, https://openalex.org/W6607982746, https://openalex.org/W4225874520, https://openalex.org/W4372311765, https://openalex.org/W2042954874, https://openalex.org/W2404901863, https://openalex.org/W4283325102, https://openalex.org/W2963532813, https://openalex.org/W3005285779, https://openalex.org/W6702248584, https://openalex.org/W2116341502, https://openalex.org/W3013906425, https://openalex.org/W1868111879, https://openalex.org/W2116007667, https://openalex.org/W1498305593, https://openalex.org/W3144733029, https://openalex.org/W2891400669, https://openalex.org/W4225603140, https://openalex.org/W4294712597, https://openalex.org/W2911964244, https://openalex.org/W2131212205, https://openalex.org/W4246413330, https://openalex.org/W4282584776, https://openalex.org/W3194701996, https://openalex.org/W3137942329 |
| referenced_works_count | 46 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5102790190 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I40120149 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.5799999833106995 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.69202921 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |